mlsanityData to 7 Oct 2026

Controlled Cue Generation for Play Scripts

arXiv 2112.06953 ↗First posted 13 Dec 2021cs.CL cs.AI cs.LGcited by 4

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Abstract (arXiv)

In this paper, we use a large-scale play scripts dataset to propose the novel task of theatrical cue generation from dialogues. Using over one million lines of dialogue and cues, we approach the problem of cue generation as a controlled text generation task, and show how cues can be used to enhance the impact of dialogue using a language model conditioned on a dialogue/cue discriminator. In addition, we explore the use of topic keywords and emotions for controlled text generation. Extensive quantitative and qualitative experiments show that language models can be successfully used to generate plausible and attribute-controlled texts in highly specialised domains such as play scripts. Supporting materials can be found at: https://catlab-team.github.io/cuegen.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 27 of its 41 references that are in the map. First posted on arXiv 13 Dec 2021.

Builds on

27 of 41 references.

References · 27

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2014Neural Machine Translation by Jointly Learning to Align and Translatecited by 4,530
  4. 2014Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translationcited by 4,016
  5. 2014Sequence to Sequence Learning with Neural Networkscited by 2,974
  6. 2019Fine-Tuning Language Models from Human Preferencescited by 2,124
  7. 2015A Diversity-Promoting Objective Function for Neural Conversation Modelscited by 1,068
  8. 2015Effective Approaches to Attention-based Neural Machine Translationcited by 1,024
  9. 2019Plug and Play Language Models: A Simple Approach to Controlled Text Generationcited by 793
  10. 2019CTRL: A Conditional Transformer Language Model for Controllable Generationcited by 754
  11. 2020Evaluation of Text Generation: A Surveycited by 275
  12. 2017Toward Controlled Generation of Textcited by 271
15 more
  1. 2020Enabling Language Models to Fill in the Blankscited by 121
  2. 2017Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasmcited by 117
  3. 2020Towards Controllable Biases in Language Generationcited by 112
  4. 2017Event Representations for Automated Story Generation with Deep Neural Netscited by 62
  5. 2020STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story Generationcited by 56
  6. 2020Exploring Controllable Text Generation Techniquescited by 55
  7. 2018Simple Fusion: Return of the Language Modelcited by 30
  8. 2017Story Generation from Sequence of Independent Short Descriptionscited by 26
  9. 2020CG-BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detectioncited by 23
  10. 2020Cue Me In: Content-Inducing Approaches to Interactive Story Generationcited by 16
  11. 2020ScriptWriter: Narrative-Guided Script Generationcited by 15
  12. 2019Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLUcited by 13
  13. 2019LSTM vs. GRU vs. Bidirectional RNN for script generationcited by 7
  14. 2020THEaiTRE: Artificial Intelligence to Write a Theatre Playcited by 7
  15. 2020Conditioned Text Generation with Transfer for Closed-Domain Dialogue Systemscited by 2

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 0; 2024: 1; 2025: 0; 2026: 1.

4 papers.

  1. 2022Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionalscited by 191
  2. 2024IBSEN: Director-Actor Agent Collaboration for Controllable and Interactive Drama Script Generationcited by 35
  3. 2022Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Surveycited by 21
  4. 2026Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responsescited by 1